3D Object Reconstruction Using Single Image
Recentely, many algorithms were implemeneted; in order to get better and accurate 3D modeling. In this paper, five proposed methods were presented for 3D object reconstruction from a single 2D color image. The basic idea of the five proposed algorithms: depend on changing the process of 3D reconstruction from single image to 3D reconstruction using two images on which feature extraction and matching were applied and after finding correspondences a 3D model can be obtained. Kanade-Lucas-Tomasi (KLT) and Scale Invariant Feature Transform (SIFT) algorithms used for feature extraction and matching. Experiments were applied in this approach to explore the effectiveness of our methods.
Keywords: Keywords: Kanade-Lucas-Tomasi (KLT), Scale Invariant Feature Transform (SIFT).
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ABOUT THE AUTHORS
M.A. Mohamed
Associate Professor-Faculty of Engineering-Mansoura University-Egypt
A.I. Fawzy
Assistant Professor-Faculty of Engineering-Mansoura University-Egypt
E.A. Othman
Delta Academy of Science for Engineering and Technology-Egypt
M.A. Mohamed
Associate Professor-Faculty of Engineering-Mansoura University-Egypt
A.I. Fawzy
Assistant Professor-Faculty of Engineering-Mansoura University-Egypt
E.A. Othman
Delta Academy of Science for Engineering and Technology-Egypt
